{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Explore feature importance in different RF-models:\n",
    "- Plots them as a bar plot.\n",
    "- Writes the feature importances to a CSV."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "Using BookNLP folder path from config.py -- /Users/sunyambagga/Desktop/txtLAB-2/minimal-narrativity/booknlp-output-narrativity/\n",
      "PLACE LEXICON has 1560 entries.\n",
      "Loading TMV features from: /Users/sunyambagga/Desktop/txtLAB-2/detecting-narrativity/pickles/tmv_features_lite_merged.pickle \n",
      "Size: 17313\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import cross_validate\n",
    "from sklearn.ensemble import  RandomForestClassifier\n",
    "\n",
    "import data_loader\n",
    "import vectorizer\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_feat_imp(X):\n",
    "    \"\"\"\n",
    "    Returns average feature-importance across 5-fold CV.\n",
    "    \"\"\"\n",
    "    clf = RandomForestClassifier(n_estimators=500, random_state=42, max_depth=None)\n",
    "    output = cross_validate(clf, X, Y, cv=N_FOLDS, scoring='accuracy', return_estimator=True)\n",
    "    print(\"Output accuracy:\", output['test_score'])\n",
    "    importances = [] # take mean feature importance across 5-runs\n",
    "    for estimator in output['estimator']:\n",
    "        importances.append(estimator.feature_importances_)\n",
    "\n",
    "    feat_imp = np.mean(importances, axis=0)\n",
    "    return feat_imp\n",
    "\n",
    "\n",
    "def plot_feature_importance(feature_names, feat_imp, model_type):\n",
    "    data = {'feature_names': feature_names, 'feature_importance': feat_imp}\n",
    "    fi_df = pd.DataFrame(data)\n",
    "\n",
    "    fi_df.sort_values(by=['feature_importance'], ascending=False, inplace=True)\n",
    "\n",
    "    plt.figure(figsize=(10,8))\n",
    "    sns.barplot(x=fi_df.head(40)['feature_importance'], y=fi_df.head(40)['feature_names'])\n",
    "    plt.title('Random Forest: Feature Importance ({})'.format(model_type))\n",
    "    plt.xlabel('Feature Importance')\n",
    "    plt.ylabel('Feature Names')\n",
    "    plt.savefig(path+'figures/feature-importance/'+model_type, dpi=100)\n",
    "    return fi_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## After removing mispredictions and adding pct-quoted & '' to CountVectorizer:\n",
    "- Using the Animacy Lite model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# genres initially: 19\n",
      "Post-filtering, # genres: 18\n",
      "(416, 30) (105, 5) (450, 3) | Total reader-annotated files: 971\n",
      "Total Mispredictions: 1090 | From: POS-TMV_13438_predictions.tsv\n",
      "Dataset size: (12348, 5)\n",
      "12348 12348\n"
     ]
    }
   ],
   "source": [
    "N_FOLDS = 5\n",
    "fnames, Y = data_loader.load_data(discard_genres=['OPINION'], remove_annotated_passages=True, remove_mispreds=True)\n",
    "path = '/Users/sunyambagga/Desktop/txtLAB-2/detecting-narrativity/'\n",
    "feat_path = path + 'feature-importance/'\n",
    "print(len(fnames), len(Y))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train -- Other: (12348, 11) | pos: (12348, 38)\n",
      "Test -- Other: (0,) | pos: (0, 38)\n",
      "Combined shape - train: (12348, 49) & test: (0,)\n",
      "Features: ['temporality', 'temporal_order', 'setting', 'concreteness', 'saying', 'eventfulness', 'agenthood', 'agency', 'coherence', 'feltness', 'pct_quoted', \"'\", '``', 'cc', 'cd', 'dt', 'ex', 'fw', 'in', 'jj', 'jjr', 'jjs', 'lrb', 'ls', 'md', 'nn', 'nnp', 'nnps', 'nns', 'pdt', 'pos', 'prp', 'rb', 'rbr', 'rbs', 'rp', 'rrb', 'sym', 'to', 'uh', 'vb', 'vbd', 'vbg', 'vbn', 'vbp', 'vbz', 'wdt', 'wp', 'wrb']\n",
      "Output accuracy: [0.99190611 0.99230769 0.99230458 0.99675982 0.99311462]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# For POS-TMV model:\n",
    "model_type = 'PctQuoted_WithQuotationMarks_pos-tmv'\n",
    "X, _, feature_names = vectorizer.pos_tmv_quoted(fnames, [], return_feature_names=True)\n",
    "\n",
    "print(\"Features:\", feature_names)\n",
    "feat_imp = get_feat_imp(X)\n",
    "fi_df = plot_feature_importance(feature_names, feat_imp, model_type)\n",
    "fi_df.to_csv(feat_path+model_type+'.csv', index=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Run 2: After removing misclassifications\n",
    "- Using the Animacy Lite model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# genres initially: 19\n",
      "Post-filtering, # genres: 18\n",
      "(416, 30) (105, 5) (450, 3) | Total reader-annotated files: 971\n",
      "Total Mispredictions: 1090 | From: POS-TMV_13438_predictions.tsv\n",
      "Dataset size: (12348, 5)\n",
      "12348 12348\n"
     ]
    }
   ],
   "source": [
    "N_FOLDS = 5\n",
    "fnames, Y = data_loader.load_data(discard_genres=['OPINION'], remove_annotated_passages=True, remove_mispreds=True)\n",
    "path = '/Users/sunyambagga/Desktop/txtLAB-2/detecting-narrativity/'\n",
    "feat_path = path + 'feature-importance/run2_'\n",
    "print(len(fnames), len(Y))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train -- Other: (12348, 10) | pos: (12348, 36)\n",
      "Test -- Other: (0,) | pos: (0, 36)\n",
      "Combined shape - train: (12348, 46) & test: (0,)\n",
      "Output accuracy: [0.99231081 0.99149798 0.99189955 0.99675982 0.99392467]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# For POS-TMV model:\n",
    "model_type = 'pos-tmv'\n",
    "X, _, feature_names = vectorizer.pos_tmv(fnames, [], return_feature_names=True)\n",
    "\n",
    "feat_imp = get_feat_imp(X)\n",
    "fi_df = plot_feature_importance(feature_names, feat_imp, model_type)\n",
    "fi_df.to_csv(feat_path+model_type+'.csv', index=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Old:\n",
    "- Using the Full Animacy model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train -- Other: (12350, 10) | pos: (12350, 36)\n",
      "Test -- Other: (0,) | pos: (0, 36)\n",
      "Combined shape - train: (12350, 46) & test: (0,)\n",
      "Output accuracy: [0.99473897 0.99352489 0.99190283 0.9963548  0.99432969]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# For POS-TMV model:\n",
    "model_type = 'pos-tmv'\n",
    "X, _, feature_names = vectorizer.pos_tmv(fnames, [], return_feature_names=True)\n",
    "\n",
    "feat_imp = get_feat_imp(X)\n",
    "fi_df = plot_feature_importance(feature_names, feat_imp, model_type)\n",
    "fi_df.to_csv(feat_path+model_type+'.csv', index=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Run 1: Entire Dataset without Opinions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# genres initially: 19\n",
      "Post-filtering, # genres: 18\n",
      "(419, 30) (105, 5) (450, 3) | Total reader-annotated files: 974\n",
      "Dataset size: (13438, 5)\n",
      "13438 13438\n"
     ]
    }
   ],
   "source": [
    "N_FOLDS = 5\n",
    "fnames, Y = data_loader.load_data(discard_genres=['OPINION'], remove_annotated_passages=True)\n",
    "path = '/Users/sunyambagga/Desktop/txtLAB-2/detecting-narrativity/'\n",
    "feat_path = path + 'feature-importance/'\n",
    "print(len(fnames), len(Y))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Feature Names: ['cc', 'cd', 'dt', 'ex', 'fw', 'in', 'jj', 'jjr', 'jjs', 'lrb', 'ls', 'md', 'nn', 'nnp', 'nnps', 'nns', 'pdt', 'pos', 'prp', 'rb', 'rbr', 'rbs', 'rp', 'rrb', 'sym', 'to', 'uh', 'vb', 'vbd', 'vbg', 'vbn', 'vbp', 'vbz', 'wdt', 'wp', 'wrb']\n",
      "Output accuracy: [0.91741071 0.86235119 0.93154762 0.94194269 0.87123186]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# For POS-unigrams:\n",
    "model_type = 'pos-unigrams'\n",
    "X, _, feature_names = vectorizer.pos_unigrams(fnames, [], return_feature_names=True)\n",
    "\n",
    "print(\"Feature Names:\", feature_names)\n",
    "\n",
    "feat_imp = get_feat_imp(X)\n",
    "\n",
    "fi_df = plot_feature_importance(feature_names, feat_imp, model_type)\n",
    "fi_df.to_csv(feat_path+model_type+'.csv', index=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Output accuracy: [0.88318452 0.80096726 0.84375    0.94529215 0.9181243 ]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# For Tense Mood Voice:\n",
    "model_type = 'tense-mood-voice'\n",
    "X, _ = vectorizer.tense_mood_voice(fnames, [])\n",
    "feature_names = ['temporality', 'temporal_order', 'setting', 'concreteness', 'saying', 'eventfulness', 'agenthood', 'agency', 'coherence', 'feltness']\n",
    "\n",
    "feat_imp = get_feat_imp(X)\n",
    "fi_df = plot_feature_importance(feature_names, feat_imp, model_type)\n",
    "fi_df.to_csv(feat_path+model_type+'.csv', index=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Output accuracy: [0.79017857 0.74553571 0.8296131  0.89914403 0.84145888]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# For dep-unigrams:\n",
    "model_type = 'dep-unigrams'\n",
    "X, _, feature_names = vectorizer.dep_unigrams(fnames, [], return_feature_names=True)\n",
    "\n",
    "feat_imp = get_feat_imp(X)\n",
    "fi_df = plot_feature_importance(feature_names, feat_imp, model_type)\n",
    "fi_df.to_csv(feat_path+model_type+'.csv', index=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Output accuracy: [0.92671131 0.87090774 0.9077381  0.94752512 0.85522888]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# For word-unigrams:\n",
    "model_type = 'word-unigrams'\n",
    "X, _, feature_names = vectorizer.word_unigrams(fnames, [], return_feature_names=True, maxfeat=5000)\n",
    "\n",
    "feat_imp = get_feat_imp(X)\n",
    "fi_df = plot_feature_importance(feature_names, feat_imp, model_type)\n",
    "fi_df.to_csv(feat_path+model_type+'.csv', index=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train -- Other: (13438, 10) | pos: (13438, 36)\n",
      "Test -- Other: (0,) | pos: (0, 36)\n",
      "Combined shape - train: (13438, 46) & test: (0,)\n",
      "Output accuracy: [0.92931548 0.87276786 0.92931548 0.96241161 0.90063268]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# For POS-TMV model:\n",
    "model_type = 'pos-tmv'\n",
    "X, _, feature_names = vectorizer.pos_tmv(fnames, [], return_feature_names=True)\n",
    "\n",
    "feat_imp = get_feat_imp(X)\n",
    "fi_df = plot_feature_importance(feature_names, feat_imp, model_type)\n",
    "fi_df.to_csv(feat_path+model_type+'.csv', index=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train -- tmv: (13438, 10) | dep: (13438, 48) | pos: (13438, 36) | word: (13438, 36)\n",
      "Test -- tmv: (0,) | dep: (0, 48) | pos: (0, 36) | word: (0, 36)\n",
      "Combined shape - train: (13438, 130) & test: (0,)\n",
      "Output accuracy: [0.92745536 0.86681548 0.93266369 0.96278377 0.89765538]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# For POS-Word-Dep-TMV model:\n",
    "model_type = 'pos-word-dep-tmv'\n",
    "\n",
    "def pos_word_dep_tmv(train_x, test_x):\n",
    "    \"\"\"\n",
    "    Vectorizes the input text using all feature categories:\n",
    "    pos1 (max=36) + word1 (max=36) + dep1 (max=48) + tense + mood + voice\n",
    "\n",
    "    We pick the top-performing pos, word, and dep features.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    train_x: list of train filenames\n",
    "    test_x: list of test filenames\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    X_train, X_test\n",
    "    \"\"\"\n",
    "    pos_train, pos_test, pos_feats = vectorizer.pos_unigrams(train_x, test_x, return_feature_names=True, maxfeat=100)\n",
    "    word_train, word_test, word_feats = vectorizer.word_unigrams(train_x, test_x, return_feature_names=True, maxfeat=len(pos_feats))\n",
    "    dep_train, dep_test, dep_feats = vectorizer.dep_unigrams(train_x, test_x, return_feature_names=True, maxfeat=100)\n",
    "    \n",
    "    tmv_train, tmv_test = vectorizer.tense_mood_voice(train_x, test_x)\n",
    "    combined_train = np.hstack((tmv_train, dep_train.toarray(), pos_train.toarray(), word_train.toarray()))\n",
    "    if len(test_x) != 0:\n",
    "        combined_test = np.hstack((tmv_test, dep_test.toarray(), pos_test.toarray(), word_test.toarray()))\n",
    "    else: # test set is empty\n",
    "        combined_test = np.array([])\n",
    "\n",
    "    print(\"Train -- tmv: {} | dep: {} | pos: {} | word: {}\".format(tmv_train.shape, dep_train.shape, pos_train.shape, word_train.shape))\n",
    "    print(\"Test -- tmv: {} | dep: {} | pos: {} | word: {}\".format(tmv_test.shape, dep_test.shape, pos_test.shape, word_test.shape))\n",
    "    print(\"Combined shape - train: {} & test: {}\".format(combined_train.shape, combined_test.shape))\n",
    "    return combined_train, combined_test, ['temporality', 'temporal_order', 'setting', 'concreteness', 'saying', 'eventfulness', 'agenthood', 'agency', 'coherence', 'feltness'] + dep_feats + pos_feats + word_feats\n",
    "\n",
    "\n",
    "\n",
    "X, _, feature_names = pos_word_dep_tmv(fnames, [])\n",
    "\n",
    "feat_imp = get_feat_imp(X)\n",
    "fi_df = plot_feature_importance(feature_names, feat_imp, model_type)\n",
    "fi_df.to_csv(feat_path+model_type+'.csv', index=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train -- tmv: (13438, 10) | pos: (13438, 36) | dep: (13438, 48)\n",
      "Test -- tmv: (0,) | pos: (0, 36) | dep: (0, 48)\n",
      "Combined shape - train: (13438, 94) & test: (0,)\n",
      "Output accuracy: [0.92708333 0.8608631  0.93266369 0.96166729 0.90249349]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# For POS-Dep-TMV model:\n",
    "model_type = 'pos-dep-tmv'\n",
    "\n",
    "X, _, feature_names = vectorizer.pos_dep_tmv(fnames, [], return_feature_names=True)\n",
    "\n",
    "feat_imp = get_feat_imp(X)\n",
    "fi_df = plot_feature_importance(feature_names, feat_imp, model_type)\n",
    "fi_df.to_csv(feat_path+model_type+'.csv', index=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Confirm that Scaling doesn't change feature importance:\n",
    "- Checked for TMV and POS-TMV. Negligible/No changes in feature importance values for both."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.pipeline import Pipeline\n",
    "\n",
    "clf = RandomForestClassifier(n_estimators=500, random_state=42, max_depth=None)\n",
    "pipe = Pipeline([('scaler', StandardScaler()), ('rf', clf)])\n",
    "pipe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_feat_imp_with_scaling(X):\n",
    "    \"\"\"\n",
    "    Returns average feature-importance across 5-fold CV.\n",
    "    \"\"\"\n",
    "    output = cross_validate(pipe, X, Y, cv=N_FOLDS, scoring='accuracy', return_estimator=True, verbose=10)\n",
    "\n",
    "    importances = [] # take mean feature importance across 5-runs\n",
    "    for estimator in output['estimator']:\n",
    "        importances.append(estimator.steps[1][1].feature_importances_)\n",
    "\n",
    "    feat_imp = np.mean(importances, axis=0)\n",
    "    return feat_imp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# For POS + Tense Mood Voice:\n",
    "model_type = 'pos-tense-mood-voice'\n",
    "X, _, feature_names = vectorizer.pos_tmv(fnames, [], return_feature_names=True)\n",
    "print(X.shape)\n",
    "print(feature_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "feat_imp = get_feat_imp_with_scaling(X)\n",
    "feat_imp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "plot_feature_importance(feature_names, feat_imp, model_type)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plot_feature_importance(feature_names, feat_imp, model_type)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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